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An Agent-, Service-Based Platform Supporting Ontological Integration of Proficient Knowledge Managed in Decision Making

机译:一个基于代理,基于服务的平台,支持在决策中管理精通知识的本体集成

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Case-based reasoning (CBR) is a problem-solving strategy which tries to leverage past experiences (cases) to solve incoming situations. On the other hand, ontologies are proving to be a means to facilitate sharing and reuse of bodies of knowledge across organizations and applications on the basis of a well-defined semantics for concepts and their relationships. To a certain extent, organizations may wish to operate in an autonomous, independent way, but also may wish to improve enterprise collaboration for competitiveness reasons, strategic alliances, etc. In order to achieve the integration of distributed knowledge bases used in decision making systems, a formal characterization of cases through their ontological description is presented, as well as their interrelationships with cases stored in other different repositories. We propose the use of domain classification and term mappings techniques, in concert with an Internet-operative platform that combines agent and service technologies, intended to satisfy and accomplish effective knowledge sharing across organizations.
机译:基于案例的推理(CBR)是一种解决问题的策略,它试图利用过去的经验(案例)来解决传入的情况。另一方面,事实证明,本体是一种在概念和它们之间的关系的定义明确的语义的基础上,促进组织和应用程序之间知识体系的共享和重用的手段。在某种程度上,组织可能希望以自主,独立的方式进行运营,但出于竞争力,战略联盟等方面的考虑,也可能希望改善企业之间的协作。为了实现决策系统中使用的分布式知识库的集成,通过案例的本体描述,以及与存储在其他不同存储库中的案例之间的相互关系,对案例进行了形式化描述。我们建议将域分类和术语映射技术与结合了代理和服务技术的Internet运营平台配合使用,以期满足并实现跨组织的有效知识共享。

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